使用kubeadm部署k8s
使用kubeadm部署k8s
说明
- 系统环境
lmf@lmf:~$ cat /etc/issue
Ubuntu 18.04.5 LTS \n \l
lmf@lmf:~$ cat /proc/meminfo | grep MemTotal
MemTotal: 4015812 kB
lmf@lmf:~$ cat /proc/cpuinfo | grep model\ name
model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz
model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz
model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz
model name : Intel(R) Core(TM) i5-10500 CPU @ 3.10GHz
安装docker
- 该步骤参考清华大学 Docker Community Edition 镜像使用帮助， 如果已安装请忽略
- 确保 Cgroup Driver 为systemed
- 设置docker 的Cgroup Driver 为systemd
sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<-'EOF'
{
"registry-mirrors": ["https://m0m3chw3.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
安装kubelet kubeadm kubectl
sudo apt-get update && sudo apt-get install -y apt-transport-https
curl https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | sudo apt-key add -
cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
EOF
sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl
部署
sudo kubeadm init --apiserver-advertise-address=192.168.60.51 --image-repository registry.aliyuncs.com/google_containers --pod-network-cidr=10.244.0.0/16
--apiserver-advertise-address 填本机ip
部署成功后会显示如下：
参考
使用到的参考
- 使用 kubeadm 部署 kubernetes
- kubernetes安装最新步骤 centos7
- Ubuntu 20.04 LTS 安装 k8s 报错 failed to pull image coredns:v1.8.0
